Generic model of computation for intelligent computer aided progress assessment (iCAP)

One of the major problems levelled at many traditional learning initiatives is that individual progress and performance are not well monitored and evaluated. This paper offers a model of computation for intelligent computer aided progress assessment and reports on a recent study which formulated a generic model (iCAP) from a prototype testing in a 4 months course. A walk through study for the course was carried out which was used to formulate an intelligent computer aided assessment system. As a result, a generalized model was designed which was used to determine the expected performance bank with various levels of difficulty (challenge levels), thereby ensuring that, if the test is randomized, levels of competence could be examined. Each individual result of the student (current performance level) is captured and stored in a progress file for self-reviewing by the student as well as by the lecturer for assessment and monitoring purposes. The benefits and limitations of iCAP are discussed at the end of the paper.